Sequential sampling plan using fuzzy SPRT

被引：21

作者：

Jamkhaneh, Ezzatallah Baloui ^{[1
]}

Gildeh, Bahram Sadeghpour ^{[2
]}

机构：

[1] Islamic Azad Univ, Qaemshahr Branch, Dept Stat, Qaemshahr, Iran

[2] Univ Mazandaran, Fac Basic Sci, Dept Stat, Babol Sar, Iran

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2013年 / 25卷 / 03期

关键词：

Sequential sampling plan; fuzzy number; acceptable quality level; lot tolerance percent defective; TESTS;

D O I：

10.3233/IFS-120684

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we introduce a new sequential sampling plan based on sequential probability ratio test for fuzzy hypotheses testing. In order to deal with uncertainty happened, the triangular fuzzy number (TFN) is used to express the fuzzy phenomenon of the sampling plan's parameters. In this plan the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are TFN. For such a plan, we design a decision criterion of acceptance and rejection for every arbitrary lambda-cut and a particular table of rejection and acceptance is calculated. This plan is well defined, since, if the parameters are crisp, it changes to a classical plan.

引用

页码：785 / 791

页数：7

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